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Link to Best Practices for Deploying and Scaling Industrial AI

Best Practices for Deploying and Scaling Industrial AI

Artificial Intelligence (AI) is transforming industrial operations, helping organizations optimize workflows, reduce downtime, and enhance productivity. Different industry verticals leverage AI in unique ways.

Link to The Center for Adaptive Edge Intelligence

The Center for Adaptive Edge Intelligence

Adaptive edge intelligence brings real-time decision-making to the point of data creation, whether from sensors, machines, or cameras.

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The Value of Vehicle Electrification

Electric vehicles (EVs) present automakers with many design, engineering, and manufactu ring challenges.

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Accelerating Manufacturing Digital Transformation with Industrial Connectivity and IoT

Digital transformation is empowering industrial organizations to deliver sustainable innovation, disruption-proof products and services, and continuous operational improvement.

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Smart Manufacturing for Automotive

Leading a transportation revolution in autonomous, electric, shared mobility and connectivity with the next generation of design and development tools.

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Center for Data Pipeline Automation

As businesses become data-driven and rely more heavily on analytics to operate, getting high-quality, trusted data to the right data user at the right time is essential.

Link to Center for Automated Integration

Center for Automated Integration

The goal of automated integration is to enable applications and systems that were built separately to easily share data and work together, resulting in new capabilities and efficiencies that cut costs, uncover insights, and much more.

Link to Continuous Intelligence: Insights

Continuous Intelligence: Insights

Digital transformation requires continuous intelligence (CI). Today’s digital businesses are leveraging this new category of software which includes real-time analytics and insights from a single, cloud-native platform across multiple use cases to speed decision-making, and drive world-class customer experiences.
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Uber Introduces Open Source, Real-Time Analytics Engine

Uber Introduces Open Source, Real-Time Analytics Engine

The AresDB analytics engine leverages graphics processing units (GPUs) for growth at scale.

Written By

Feb 8, 2019

Uber has rolled out a new analytics engine, AresDB. This open source, real-time engine leverages graphics processing units (GPUs) for growth at scale. It’s designed to help unify and simplify Uber’s real-time analytics database solutions.

Column-based Storage

AresDB uses live and archive to store data in a columnar format in the cloud. A separate value stores the validity of each value, which is represented by one bit.

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Real-time Ingestion with Upsert Support

Clients use the ingestion API to gather data and post an upsert batch. This specialized format reduces space needs but still keeps the data randomly accessible. AresDB can identify late records (those older than the pre-set archive cut-off time) and exclude them through the redo log. It adds late records to a backfill queue and the rest to the live store.

See also: Drive.ai launches self-driving taxi pilot in Arlington

GPU Powered Query Processing

Uber-created AQL language runs queries against AresDB. It uses JSON, YAML and Go objects. AresDB oversees multiple GPU devices with device management that models GPU resources in two dimensions, GPU threads, and device memory. The database helps users determine the number of resources necessary to execute a query. As long as a GPU device can provide all the required resources, AresDB can run one or several queries per device.

In the future, Uber plans to add new features including:

A distributed design of AresDB for improved scalability and reduced operational costs
Developer support and tools
Query engine optimization
An expanded feature set

Sue Walsh

Sue Walsh is News Writer for RTInsights, and a freelance writer and social media manager living in New York City. Her specialties include tech, security and e-commerce. You can follow her on Twitter at @girlfridaygeek.

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